所有 Skills
找到 8742 个 Skills
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seo
针对任何网站或业务类型的全面SEO分析。包括全站审计、单页分析、技术SEO（可爬取性、可索引性、包含INP的核心网页指标）、Schema标记、内容质量（E-E-A-T）、图片优化、站点地图分析，以及面向AI概览/ChatGPT/Perplexity的GEO。支持行业检测：SaaS、电商、本地、出版商、代理商。触发关键词：SEO、审计、schema、核心网页指标、站点地图、E-E-A-T、AI概览、GEO、技术SEO、内容质量、页面速度、结构化数据。
agricidaniel
react-expert
Use when researching React APIs or concepts for documentation. Use when you need authoritative usage examples, caveats, warnings, or errors for a React feature.
reactjs
paseo
用于管理工作区、工作区脚本、Agent、定时任务（Schedule）和心跳检测（Heartbeat）的 Paseo 参考指南。
getpaseo
ml-paper-writing
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. For systems venues (OSDI, NSDI, ASPLOS, SOSP), use systems-paper-writing instead.
orchestra-research
humanizer-zh
去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式：夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。
op7418
playwright-cli
自动化浏览器交互、测试网页并处理 Playwright 测试。
microsoft
i-have-adhd
为患有ADHD的读者塑造输出：以下一步行动开头，对多步骤工作进行编号，在对话轮次间重述状态，抑制离题内容，给出具体时间估计，让成果可见。通过 /i-have-adhd 调用；持续生效直到说“stop adhd mode”。
ayghri
apple-design
Apple 的界面设计与流畅物理动效方法，转化为 Web 实现。适用于构建或审查手势驱动的 UI、弹簧动画、拖拽/滑动/面板交互、动量和可中断过渡、半透明材质与深度、排版（光学尺寸、字距、行距）、减少动效，或 Apple 风格界面背后的设计基础（反馈、空间一致性、克制）。
emilkowalski
phoenix-evals
Build and run evaluators for AI/LLM applications using Phoenix.
arize-aiphoenix-tracing
OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.
arize-aiphoenix-cli
Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding what to do after instrumenting an app, building failure taxonomies, choosing what evals to write, or asking "what's going wrong", "what kinds of mistakes", or "where do I focus" — even without naming a technique.
arize-ai
ian-xiaohei-illustrations
生成 Ian 风格的中文正文配图。用于用户要求为中文文章、帖子、博客、Notion 文档、工作流文档、方法论、流程、结构、状态、隐喻或观点生成“怪诞”“小黑”“手绘”“正文配图”“文章插图”“配图建议”“shot list”“去标题/改图”等任务；默认使用小黑 IP、纯白手绘、少量红橙蓝批注、简洁清爽但天马行空的视觉风格。
helloianneo
seo-coach
Enter a friendly OpenSEO coach mode that explains workflows, recommends next steps, and helps users use agents, web search, scraping, and MCP data effectively.
every-appcompetitor-analysis
Analyze one competitor's organic footprint, ranking keywords, content themes, backlinks, and gaps.
every-appkeyword-clustering
Cluster keywords by intent and map them to existing or proposed pages.
every-appseo-project-setup
Set up a durable local SEO workspace with project context, notes, goals, positioning, preferences, MCP checks, and Search Console data intake.
every-appcompetitive-landscape
Map SEO market leaders, winning content themes, keyword coverage, backlinks, and strategic gaps.
every-applink-prospecting
Find link prospects, discover contact paths, and draft outreach from SERPs and backlink signals.
every-app
prompt-master
Generates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other non-prompt-engineering work.
nidhinjs
huggingface-zerogpu
AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGPU Space, or handling ZeroGPU-specific code constraints — pickle-based process isolation, `gr.State` semantics across the worker boundary, no `torch.compile` (use AoTI instead), CUDA wheel-only builds (no `nvcc` at build or runtime), large vs xlarge sizing, and dynamic duration callables. Make sure to use this skill whenever the user mentions ZeroGPU, `@spaces.GPU`, or the `spaces` Python package, or hits ZeroGPU-specific code errors like `PicklingError` across the worker boundary, `illegal duration`, or `flash-attn` wheel-build failures — even when the user does not explicitly ask for ZeroGPU coding guidance. Trigger on `import spaces` or `@spaces.GPU` in code.
huggingfacetrain-sentence-transformers
Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.
huggingfacehuggingface-tool-builder
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.
huggingfacehuggingface-local-models
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.
huggingfacehuggingface-paper-publisher
在 Hugging Face Hub 上发布和管理研究论文。支持创建论文页面、将论文链接到模型/数据集、声明作者身份，以及生成专业的基于 Markdown 的研究文章。
huggingface